Learning as a systematic change in knowledge, insights, behavior, and motivation occurs either in-classroom or out-of-classroom context. However, for bicultural class consisting of Indonesian Thai EFL students context, to achieve such goals learning is challenging, since the staying comprising those from two different cultural backgrounds faced some underlying problems. Therefore, establish aut...

Probabilistic subspace similarity-based face matching is an efficient face recognition algorithm proposed by Moghaddam et al. It makes one basic assumption: the intra-class face image set spans a linear space. However, there are yet no rational geometric interpretations of the similarity under that assumption. This paper investigates two subjects. First, we present one interpretation of the int...

The goal of this study was to prospectively evaluate the diagnostic performance of Virtual Touch tissue imaging quantification (VTIQ) shear wave elastography in the discrimination of benign and malignant cervical lymph nodes in routine clinical practice. Shear wave velocity was analyzed using VTIQ in 100 patients with 100 histologically proven cervical lymph nodes. Diagnostic performance was ev...

Although the diagnostic criteria for histological grading in breast cancer have been improved by the introduction of the Nottingham/Tenovus classification, good results in terms of reproducibility are hard to obtain. The objective of this study was to validate a methodological protocol for external quality control. We assessed the intra- and interlaboratory reproducibility for grading score and...

The sparse representation based classification algorithm has been used to solve the problem of human face recognition, but the image database is restricted to human frontal faces with only slight illumination and expression changes. This paper applies the sparse representation based algorithm to the problem of generic image classification, with a certain degree of intra-class variations and bac...

The assessment of psychopathology in persons with mental retardation requires reliable and valid instruments. In the present study, the reliability of the Child Behavior Checklist was determined, using data of 42 children and youth with mild mental retardation, with ages from 10 to 18 years. Kappa coefficients and intra-class correlations were computed to determine the reliability at item level...

A new variant of the ARCH class of models for forecasting conditional variance, to be called the Generalized AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) Model, is proposed. The GARCH-PARK-R model, utilizing the extreme values, is a good alternative to the Realized Volatility that requires a large amount of intra-daily data, which remain relatively costly and are...